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TrendMD recommendations are based on collaborative filtering – similar to Amazon, Netflix, and Pandora or Spotify – and our evolving algorithms. We apply our approach to vast data sets to deliver a concise set of peer-reviewed and professional articles.
Our recommendations are informed by what you are currently reading and what others who share related interests are also reading. Publishers display recommendations where you want them – in the article you are currently reading – across thousands of the world’s leading journals you rely on for quality research.